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Field
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-based learning or reinforcement learning, gradients are either unavailable or unreliable. In such contexts, zeroth-order (blackbox) optimization becomes essential. Blackbox methods, such as finite
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platform around the key elements of 5G and its evolution towards 6G and 7G - Participate in the development of the educational design of training courses - Supervise and coordinate the implementation
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. The mining risk at former mining locations should be determined by considering different factors: predisposition, the triggering or aggravating factor of external origin and intensity. As an aggravating factor
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. To go further in this context of model-based optimal transport (MBOT), the purpose of this Ph.D. (or postdoc) position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused
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between prophet inequalities and interdependent values, proving the first constant-factor approximations in online selection problems where agent values are interdependent. Building on this result, a
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on scheduling requirements They may also be asked to develop and teach higher level Data Science/Computer Science classes in an area of their interest Professional mentorship is an important component of our work
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, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third party funding in the relevant fields of data science
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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the social world is essential. Professional mentorship is an important component of our work with students. Commitment to scholarship, excellence in teaching, integrative learning Service to the department